Название: Crushing The Technical Interview: Data Structures And Algorithms (Python Edition): The study guide for data structures and algorithms interviews
Автор: Keith Henning
Издательство: Spore Press LLC
Год: 2025
Страниц: 516
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Learn the process of interviewing for a software development role, how to prepare, and all the information you will need to make it through the data structures and algorithms interview. This book covers what to expect in each stage of the interview process, how to describe the complexity of an algorithm using Big-O notation, the basic software theories you will need to succeed, and how to answer behavioral questions meaningfully. Then you will learn the most important data structures and the minimum number of targeted algorithms needed in order to crush your coding interview. There are 75 unique coding problems for you to practice on, along with the solutions. Once you are done, you should be able to map the patterns you learn onto any problem and solve them with ease. This book is available in various editions based on the programming language of your choice. This is the Python Edition.

Название: R for Data Analysis: The Modern Guide to Statistical Computing, Data Wrangling, and Visualization
Автор: Yash Jain
Издательство: Independently published
Год: 2025
Страниц: 219
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

In today’s data-driven world, the ability to transform raw information into actionable insights is more crucial than ever. R for Data Analysis is your comprehensive, step-by-step guide to mastering R—from its foundational principles to advanced techniques—making it the perfect companion for both newcomers and seasoned data professionals. Whether you’re leveraging R for statistical computing, data preprocessing, or creating compelling visualizations, this guide illuminates a clear path to unlocking the true potential of your data. This practical guide not only equips you with the technical skills needed to write efficient, elegant R code but also prepares you for a thriving career in Data Science. With dedicated sections on real-world applications, portfolio building, and performance optimization, you’ll gain the hands-on experience and actionable insights necessary to excel in today’s competitive data landscape.

Название: C++ for 2D Game Development
Автор: Maxwell Reed
Издательство: Reedsy
Год: November 25, 2024
Страниц: 104
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Crafting 2D games is a blend of imagination, precision, and technical expertise. This comprehensive guide is designed to empower aspiring and experienced developers with the tools, techniques, and foundational knowledge to create immersive 2D gaming experiences using C++. With clear explanations, real-world examples, and practical exercises, this book takes you through every phase of game development—from concept to deployment. Whether you’re building your first game or refining your skills, you’ll gain insights into designing captivating gameplay, implementing efficient algorithms, and optimizing performance for smooth and engaging experiences. Perfect for coders, game enthusiasts, and developers looking to elevate their craft, this guide will equip you to build games that captivate and challenge players. Start creating today!

Название: Graph Neural Networks in Action with Python: A Complete Practitioner's Guide to Building, Scaling, and Deploying GNN Applications
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1495
Язык: английский
Формат: epub (true)
Размер: 12.4 MB

Graph Neural Networks in Action with Python: A Complete Practitioner's Guide to Building, Scaling, and Deploying GNN Applications is the definitive comprehensive resource for mastering graph neural networks from fundamentals to production deployment. This extensive guide expands far beyond traditional GNN introductions, offering 12 detailed chapters with 8 practical sections each, covering everything from basic graph theory to advanced industrial applications. Unlike existing books that focus primarily on theory, this practitioner-oriented guide emphasizes real-world implementation using the latest Python frameworks including PyTorch Geometric, DGL, and GraphScope. You'll master core architectures like Graph Convolutional Networks, GraphSAGE, and Graph Attention Networks, then advance to cutting-edge topics including heterogeneous graphs, temporal networks, and large-scale distributed training.

Название: Docker Deep Dive: Zero to Docker in a single book!, 5th Edition
Автор: Nigel Poulton
Издательство: Independently published
Год: May 2025
Страниц: 308
Язык: английский
Формат: epub
Размер: 11.1 MB

This edition was published in May 2025 and is up to date with the latest industry trends and the latest enhancements to Docker. Explore everything from container basics to advanced Docker operations, including AI and Wasm containerization, to build, deploy, and secure containerized applications. Docker Deep Dive provides a comprehensive introduction to container technology and Docker’s essential role in modern software development. It covers installation across platforms and presents both developer and operational perspectives to build a solid foundation. Early chapters explain container basics, Docker architecture, and key ecosystem standards. The book then explores advanced technical topics including the Docker Engine, image and container management, application containerization, and multi-container apps with Docker Compose. It guides readers through deploying and managing Docker Swarm clusters and introduces emerging areas like WebAssembly containers and AI workloads with Docker Model Runner.

Название: Практический анализ двоичных файлов
Автор: Эндриесс Дж.
Издательство: Москва
Год: 2021 (2022)
Cтраниц: 460
Формат: pdf
Размер: 13 мб
Язык: русский

Современные вредоносные программы все сильнее обфусцированы и стремятся обмануть аналитиков. Поэтому нам нужны более изощренные методы, способные развеять эту завесу тьмы, – и в этом может помочь двоичный анализ, цель которого – установить истинные свойства двоичных программ и понять, что они делают в действительности.

Название: Supercharge Your jаvascript: Using AI for Smarter, Faster Development
Автор: Laurence Lars Svekis
Издательство: Laurence Lars Svekis
Год: 2025
Формат: epub, pdf
Страниц: 160
Размер: 27,45 Мб
Язык: английский

A Beginner-Friendly Guide to Learning jаvascript with the Power of AI. Want to learn jаvascript, but not sure where to start? Feeling overwhelmed by syntax, stuck on errors, or tired of tutorials that never quite get you to the finish line?This book is your breakthrough.

Название: jаvascript Quick‑Start Cookbook: Hands‑On Exercises and Examples for Every Skill Level
Автор: Laurence Lars Svekis
Издательство: Laurence Lars Svekis
Год: 2025
Формат: epub, djvu, pdf
Страниц: 136
Размер: 10.3 Мб
Язык: английский

jаvascript Quick‑Start Cookbook: Hands‑On Exercises and Examples for Every Skill Level is your ultimate companion for mastering modern jаvascript through practice. Whether you’re an absolute beginner or an experienced coder looking to solidify your skills, this book delivers 450 practical exercises—50 in each of nine carefully structured chapters—alongside clear explanations and real‑world examples.

Название: Python Experiments in Physics and Astronomy
Автор: Padraig Houlahan
Издательство: CRC Press
Год: 2025
Страниц: 214
Язык: английский
Формат: True PDF, True EPUB
Размер: 31.2 MB, 52.1 MB

Python Experiments in Physics and Astronomy acts as a resource for science and engineering students or faculty who would like to see how a diverse selection of topics can be analyzed and simulated using Python programs. The book also provides Python solutions that can be learned from and modified as needed. The book is mainly aimed at undergraduates, but since many science students and faculty have limited exposure to scientific programming, having a collection of examples that address curve-fitting, Fast Fourier Transforms, image photometry and image alignment, and many others could be very helpful not just for learning from, but also to support classroom projects and demonstrations. The code examples were written in Python, and use popular supporting libraries such as Matplotlib, Pandas, Numpy, Math, Itertools, and Scikit.

Название: Artificial Intelligence and Machine Learning Techniques in Engineering and Management
Автор: Komaragiri Srinivasa Raju, Dasika Nagesh Kumar
Издательство: Springer
Год: 2025
Страниц: 286
Язык: английский
Формат: pdf (true), epub
Размер: 31.3 MB

The present book covers various facets of Artificial Intelligence, Machine Learning, and Fuzzy Logic. It includes a brief discussion on performance indicators, Classical and Advanced Machine Learning algorithms, Fuzzy logic-based modelling algorithms, Emerging Research Areas, including Blockchain, recent ML techniques, Evolutionary Algorithms, Large Language Model (LLM)-based Generative AI, the Internet of Things, Big Data, Decision Support Systems, Taguchi design of experiments, data augmentation, and Cross-Validation, and representative case studies. The appendix covers representative AI tools, data sources, books, and journals on AI. The present book can support undergraduate, postgraduate, and Ph.D. students in Artificial Intelligence, Generative Artificial Intelligence, Machine Learning, Data Sciences, Soft Computing, and Fuzzy Logic in Engineering and Management and allied fields. The proposed book has immense value in the interdisciplinary and cross-disciplinary context.